AI Agent Architect

Who This Is For Building an agent is easy. Getting it to produce the same right answer three times in a row — on real enterprise data, in a regulated environment, without a human checking every output — that's the actual problem. You've shipped AI agent systems to production on real, unclean data. Not a demo dataset. You know the accuracy cliff. You know why prompting cannot fix semantic problems. You've built systems that don't rely on the model getting it right every time, and you've built the